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Transform static documents into interactive fillable forms by dragging and dropping various types of fillable fields on your PDFs. Publish these forms on websites or share them via a direct link to capture data, collect signatures, and request payments.
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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
Working good so far....just started but it seems to be doing just what we thought it should do. Easy to get around once you figure out where what is.
2014-10-02
SO FAR, I HAVE FOUND EVERY FORM I NEED. VERY EASY TO NAVIGATE. THE FORMS I NEEDED HAVE REQUIRED ENTRIES AND I WAS ABLE TO COMPLETE THEM. THANK YOU.
2016-08-02
This is something of a category killer. I'm really glad I signed up for this service. It's great for the property rental market. The UX is a little basic and could use some help but it is functional. (Kevin Kell, UX Architect)
2017-03-19
It is sometimes difficult to understand how to use the different functionalities. Your "how to" guides focus on "push this button, then this" but are not focused on the end product (i.e. " how do you create a XXXX")
2018-05-16
What do you like best?
I like the ease in completing the forms, the ease in re-locating the form is need be, able to store signatures from officers of the company
What do you dislike?
Not really a "Dislike" just challenging to adjust the fonts to fit in some of the small areas allotted for phone numbers and with the ( ) sometimes challenging to get the numbers to fit properly
Recommendations to others considering the product:
this is a time saver if you have several business forms to be completed. It's easy to use and great for referencing if you need to re-visit the form to tweek.
What problems are you solving with the product? What benefits have you realized?
Ease and time saving in completing credit applications and other business forms
I like the ease in completing the forms, the ease in re-locating the form is need be, able to store signatures from officers of the company
What do you dislike?
Not really a "Dislike" just challenging to adjust the fonts to fit in some of the small areas allotted for phone numbers and with the ( ) sometimes challenging to get the numbers to fit properly
Recommendations to others considering the product:
this is a time saver if you have several business forms to be completed. It's easy to use and great for referencing if you need to re-visit the form to tweek.
What problems are you solving with the product? What benefits have you realized?
Ease and time saving in completing credit applications and other business forms
2019-01-09
Awesome program - try it! You will see what I mean.
Awesome program. I love it!After using this program for a bit I now realize it is more than awesome. This program has helped me with forms and signatures and has pretty much streamlined this part of my job. I really love it!!!!!
2019-02-14
Be the one who gets things done right
this app has everything i need including electronic signature. If you ever find yourself needing to file legal documents all you need is right here.
2024-06-17
What do you like best?
I. An fill in forms without printing any paper.
What do you dislike?
I haven't found any downsides using pdf filler
What problems is the product solving and how is that benefiting you?
I don't have to print as many papers anymore and I can also fax without being in the office.
2022-11-08
What do you like best?
PDF is accessible and gives me the tools I need to edit, review and send docs. I like the ability to change my signature and erase as needed.
What do you dislike?
Sometimes erasing can be problematic, but nothing a little patience can't deal with. Would be nice to be able to erase large segments, sort of like making a large text box.
Recommendations to others considering the product:
It's great.
What problems are you solving with the product? What benefits have you realized?
Basically getting and sending signatures. Saves quite a bit of time and of course, the wait for something to get thru the snail mail.
2020-08-13
For pdfFiller’s FAQs
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What is model fine-tuning?
Fine-tuning is a process to take a network model that has already been trained for a given task, and make it perform a second similar task.
What is model tuning?
Tuning Machine Learning Models. Tuning is the process of maximizing a model's performance without overfitting or creating too high of a variance. Hyperparameters differ from other model parameters in that they are not learned by the model automatically through training methods.
What are tuning parameters?
A tuning parameter (), sometimes called a penalty parameter, controls the strength of the penalty term in ridge regression and lasso regression. It is basically the amount of shrinkage, where data values are shrunk towards a central point, like the mean.
What is hyper tuning?
In machine learning, hyperparameter optimization or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process. By contrast, the values of other parameters (typically node weights) are learned.
Does model tuning help to increase the accuracy?
Model tuning helps to increase the accuracy of a machine learning model. Explanation: Tuning can be defined as the process of improvising the performance of the model without creating any hype or creating over fitting of a variance.
How do you fine tune a network?
The common practice is to truncate the last layer (soft max layer) of the pre-trained network and replace it with our new soft max layer that are relevant to our own problem. Use a smaller learning rate to train the network.
What does fine-tuning a network mean?
Fine-tuning is a process to take a network model that has already been trained for a given task, and make it perform a second similar task.
What is fine-tuning in transfer learning?
Fine-tuning is one approach to transfer learning. In Transfer Learning or Domain Adaptation we train the model with a dataset, and after we train the same model with another dataset that has a different distribution of classes, or even with other classes than in the training dataset).
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